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Garg M, Karpinski M, Matelska D, Middleton L, Burren OS, Hu F, Wheeler E, Smith KR, Fabre MA, Mitchell J, O'Neill A, Ashley EA, Harper AR, Wang Q, Dhindsa RS, Petrovski S, Vitsios D. Disease prediction with multi-omics and biomarkers empowers case-control genetic discoveries in the UK Biobank. Nat Genet 2024; 56:1821-1831. [PMID: 39261665 DOI: 10.1038/s41588-024-01898-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 08/07/2024] [Indexed: 09/13/2024]
Abstract
The emergence of biobank-level datasets offers new opportunities to discover novel biomarkers and develop predictive algorithms for human disease. Here, we present an ensemble machine-learning framework (machine learning with phenotype associations, MILTON) utilizing a range of biomarkers to predict 3,213 diseases in the UK Biobank. Leveraging the UK Biobank's longitudinal health record data, MILTON predicts incident disease cases undiagnosed at time of recruitment, largely outperforming available polygenic risk scores. We further demonstrate the utility of MILTON in augmenting genetic association analyses in a phenome-wide association study of 484,230 genome-sequenced samples, along with 46,327 samples with matched plasma proteomics data. This resulted in improved signals for 88 known (P < 1 × 10-8) gene-disease relationships alongside 182 gene-disease relationships that did not achieve genome-wide significance in the nonaugmented baseline cohorts. We validated these discoveries in the FinnGen biobank alongside two orthogonal machine-learning methods built for gene-disease prioritization. All extracted gene-disease associations and incident disease predictive biomarkers are publicly available ( http://milton.public.cgr.astrazeneca.com ).
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Affiliation(s)
- Manik Garg
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Marcin Karpinski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Dorota Matelska
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Lawrence Middleton
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Oliver S Burren
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Fengyuan Hu
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Eleanor Wheeler
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Katherine R Smith
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Margarete A Fabre
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jonathan Mitchell
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Amanda O'Neill
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Clindatapark Ltd, Babraham, Cambridge, UK
| | - Euan A Ashley
- Division of Cardiology, Department of Medicine, Stanford University, Palo Alto, CA, USA
| | - Andrew R Harper
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Clinical Development, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Quanli Wang
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA
| | - Ryan S Dhindsa
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA
| | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
- Department of Medicine, Austin Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Dimitrios Vitsios
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
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Novais AA, Tamarindo GH, Melo LMM, Balieiro BC, Nóbrega D, dos Santos G, Saldanha SF, de Souza FF, Chuffa LGDA, Bracha S, Zuccari DAPDC. Exploring Canine Mammary Cancer through Liquid Biopsy: Proteomic Profiling of Small Extracellular Vesicles. Cancers (Basel) 2024; 16:2562. [PMID: 39061201 PMCID: PMC11275101 DOI: 10.3390/cancers16142562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
(Background). Canine mammary tumors (CMTs) have emerged as an important model for understanding pathophysiological aspects of human disease. Liquid biopsy (LB), which relies on blood-borne biomarkers and offers minimal invasiveness, holds promise for reflecting the disease status of patients. Small extracellular vesicles (SEVs) and their protein cargo have recently gained attention as potential tools for disease screening and monitoring. (Objectives). This study aimed to isolate SEVs from canine patients and analyze their proteomic profile to assess their diagnostic and prognostic potential. (Methods). Plasma samples were collected from female dogs grouped into CMT (malignant and benign), healthy controls, relapse, and remission groups. SEVs were isolated and characterized using ultracentrifugation (UC), nanoparticle tracking analysis (NTA) and transmission electron microscopy (TEM). Proteomic analysis of circulating SEVs was conducted using liquid chromatography-mass spectrometry (LC-MS). (Results). While no significant differences were observed in the concentration and size of exosomes among the studied groups, proteomic profiling revealed important variations. Mass spectrometry identified exclusive proteins that could serve as potential biomarkers for mammary cancer. These included Inter-alpha-trypsin inhibitor heavy chain (ITIH2 and ITI4), phosphopyruvate hydratase or alpha enolase (ENO1), eukaryotic translation elongation factor 2 (eEF2), actin (ACTB), transthyretin (TTR), beta-2-glycoprotein 1 (APOH) and gelsolin (GSN) found in female dogs with malignant tumors. Additionally, vitamin D-binding protein (VDBP), also known as group-specific component (GC), was identified as a protein present during remission. (Conclusions). The results underscore the potential of proteins found in SEVs as valuable biomarkers in CMTs. Despite the lack of differences in vesicle concentration and size between the groups, the analysis of protein content revealed promising markers with potential applications in CMT diagnosis and monitoring. These findings suggest a novel approach in the development of more precise and effective diagnostic tools for this challenging clinical condition.
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Affiliation(s)
- Adriana Alonso Novais
- Institute of Health Science (ICS), Universidade Federal de Mato Grosso (UFMT), Sinop 78550-728, MT, Brazil; (A.A.N.); (L.M.M.M.)
| | - Guilherme Henrique Tamarindo
- Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-100, SP, Brazil;
| | - Luryan Mikaelly Minotti Melo
- Institute of Health Science (ICS), Universidade Federal de Mato Grosso (UFMT), Sinop 78550-728, MT, Brazil; (A.A.N.); (L.M.M.M.)
| | - Beatriz Castilho Balieiro
- Molecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto 15090-000, SP, Brazil;
| | - Daniela Nóbrega
- Pat Animal Laboratory, São José do Rio Preto 15070-000, SP, Brazil;
| | - Gislaine dos Santos
- Laboratory of Molecular Morphophysiology and Development (LMMD/ZMV), University of São Paulo, Pirassununga 13635-900, SP, Brazil; (G.d.S.); (S.F.S.)
| | - Schaienni Fontoura Saldanha
- Laboratory of Molecular Morphophysiology and Development (LMMD/ZMV), University of São Paulo, Pirassununga 13635-900, SP, Brazil; (G.d.S.); (S.F.S.)
| | - Fabiana Ferreira de Souza
- Department of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, FMVZ, São Paulo State University (UNESP), Botucatu 18618-681, SP, Brazil;
| | - Luiz Gustavo de Almeida Chuffa
- Department of Structural and Functional Biology, Institute of Biosciences, UNESP—São Paulo State University, Botucatu 18618-689, SP, Brazil;
| | - Shay Bracha
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Ohio State University, Columbus, OH 43210, USA;
| | - Debora Aparecida Pires de Campos Zuccari
- Molecular Investigation of Cancer Laboratory (MICL), Department of Molecular Biology, Faculdade de Medicina de São José do Rio Preto/(FAMERP), São José do Rio Preto 15090-000, SP, Brazil;
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Khoshbakht S, Zomorodi Anbaji F, Darzi M, Esmaeili R. The endogenous association among MMP2/miR-1248/Circ_0087558/miR-643/ MAP2K6 axis can contribute to brain metastasis in basal-like subtype of breast cancer. Heliyon 2024; 10:e33195. [PMID: 39027611 PMCID: PMC11255566 DOI: 10.1016/j.heliyon.2024.e33195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 06/13/2024] [Accepted: 06/16/2024] [Indexed: 07/20/2024] Open
Abstract
Brain metastasis in basal-like breast cancer poses a significant challenge in cancer management due to its aggressive nature and limited treatment options. This study conducted a comprehensive analysis to explore the potential role of circular RNAs (circRNAs) as members of endogenous networks in developing breast cancer brain metastasis. Here, we utilized RNA sequencing data from primary breast cancer and brain metastasis tissue with basal-like subtype (n = 11). After quality controlling and preprocessing of fastq files, gene expression of mRNA and circRNAs were extracted from matched samples and normalized. Then, we employed the weighted gene co-expression network analysis approach to identify brain metastasis-associated circRNA modules ( S p e a r m a n Correlation > 0.5 , P - value < 0.05 ). Moreover, we found five protein-coding genes of PHLDA1, SLC12A2, MMP2, RGP1, and MAP2K6, significantly upregulated in brain metastatic tissues compared to primary breast cancer ( FDR < 0.05 ). These genes were enriched in the "GnRH signaling pathway" and "Fluid shear stress and atherosclerosis" pathways ( FDR < 0.05 ). Next, to explore the potential interactions between circRNAs and protein-coding genes, we reconstructed a competing endogenous RNA (ceRNA) network using mutual miRNAs between the circRNA module and upregulated mRNAs. Notably, we could detect two axes of circ_0087558/miR-604/MMP2 and MMP2/miR-1248/Circ_0087558/miR-643/MAP2K6 in ceRNA network. In conclusion, the identified circRNA-miRNA-mRNA axes might be therapeutic targets or diagnostic biomarkers for this challenging subtype of breast cancer. However, due to the small number of samples, further experimental validations are essential.
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Affiliation(s)
- Samane Khoshbakht
- Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
- Duke Molecular Physiology Institute, Duke University School of Medicine-Cardiology, Durham, NC, 27701, USA
| | - Fatemeh Zomorodi Anbaji
- Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
- Department of Cell &Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Mohammad Darzi
- Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
| | - Rezvan Esmaeili
- Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Houston, TX, 77030, USA
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Amaro-da-Cruz A, Rubio-Tomás T, Álvarez-Mercado AI. Specific microbiome patterns and their association with breast cancer: the intestinal microbiota as a potential biomarker and therapeutic strategy. Clin Transl Oncol 2024:10.1007/s12094-024-03554-w. [PMID: 38890244 DOI: 10.1007/s12094-024-03554-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024]
Abstract
Breast cancer (BC) is one of the most diagnosed cancers in women. Based on histological characteristics, they are classified as non-invasive, or in situ (tumors located within the milk ducts or milk lobules) and invasive. BC may develop from in situ carcinomas over time. Determining prognosis and predicting response to treatment are essential tools to manage this disease and reduce its incidence and mortality, as well as to promote personalized therapy for patients. However, over half of the cases are not associated with known risk factors. In addition, some patients develop resistance to treatment and relapse. Therefore, it is necessary to identify new biomarkers and treatment strategies that improve existing therapies. In this regard, the role of the microbiome is being researched as it could play a role in carcinogenesis and the efficacy of BC therapies. This review aims to describe specific microbiome patterns associated with BC. For this, a literature search was carried out in PubMed database using the MeSH terms "Breast Neoplasms" and "Gastrointestinal Microbiome", including 29 publications. Most of the studies have focused on characterizing the gut or breast tissue microbiome of the patients. Likewise, studies in animal models and in vitro that investigated the impact of gut microbiota (GM) on BC treatments and the effects of the microbiome on tumor cells were included. Based on the results of the included articles, BC could be associated with an imbalance in the GM. This imbalance varied depending on molecular type, stage and grade of cancer, menopause, menarche, body mass index, and physical activity. However, a specific microbial profile could not be identified as a biomarker. On the other hand, some studies suggest that the GM may influence the efficacy of BC therapies. In addition, some microorganisms and bacterial metabolites could improve the effects of therapies or influence tumor development.
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Affiliation(s)
- Alba Amaro-da-Cruz
- Department of Chemical Engineering, Faculty of Science, University of Granada, 18071, Granada, Spain
| | - Teresa Rubio-Tomás
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, Crete, Greece
| | - Ana I Álvarez-Mercado
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitalario Universitario de Granada, 18014, Granada, Spain.
- Institute of Nutrition and Food Technology, Biomedical Research Center, University of Granada, 18016, Armilla, Spain.
- Department of Pharmacology School of Pharmacy, University of Granada, 18071, Granada, Spain.
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Chen JJ, Shi P, Cui ZC, Jiang N, Ma J. CircRNA_0044556 affects the sensitivity of triple-negative breast cancer cells to paclitaxel by regulating miR-665. J Chemother 2024:1-9. [PMID: 38850033 DOI: 10.1080/1120009x.2024.2345028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 04/15/2024] [Indexed: 06/09/2024]
Abstract
CircRNAs have been implicated in the development of resistance in triple-negative breast cancer (TNBC). However, the association between circRNA_0044556 and paclitaxel (PTX) resistance in TNBC is still limited. Therefore, the purpose of this study was to investigate the effect of circRNA_0044556 on biological function and PTX resistance in TNBC cells. PTX-resistant TNBC cells (MDA-MB-231/PTX) were obtained by continuously exposing MDA-MB-231 cells to increasing paclitaxel levels. The expression levels of circRNA_0044556 and miR-665 were measured by qRT-PCR. The regulatory relationship between miR-665 and circRNA_0044556 was verified by biological information website analysis and double-luciferase reporter gene detection experiments. MTT assay, clone assay, flow cytometry and Western blot analysis were used to evaluate the influence of cell biological function. Elevated circRNA_0044556 was observed in TNBC, and paclitaxel increased the expression of circRNA_0044556 in TNBC cells. In TNBC, circRNA_0044556 acted as a ceRNA for miR-665. In addition, low expression of circRNA_0044556 combined with miR-665 inhibited the proliferation of TNBC cells and paclitaxel-resistant TNBC cells while inducing cell death. Our study demonstrated that the downregulation of circRNA_0044556 inhibits the malignant progression of TNBC cells and paclitaxel resistance via miR-665. Thus, circRNA_0044556 may be a potential therapeutic target for PTX-resistance TNBC.
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Affiliation(s)
- Jing-Jing Chen
- Department of Breast Surgery (No.1), Tangshan People's Hospital, Tangshan, China
| | - Peng Shi
- Department of Urology, Tangshan People's Hospital, Tangshan, China
| | - Zhi-Chao Cui
- Department of Breast Surgery (No.1), Tangshan People's Hospital, Tangshan, China
| | - Nan Jiang
- Department of Breast Surgery (No.1), Tangshan People's Hospital, Tangshan, China
| | - Jie Ma
- Department of Breast Surgery (No.1), Tangshan People's Hospital, Tangshan, China
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Hao Y, Gopinath SCB. Analysis of human epidermal growth factor receptor 2 interaction on aptamer-probed interdigitated electrode for breast cancer diagnosis. Biotechnol Appl Biochem 2024; 71:661-669. [PMID: 38409854 DOI: 10.1002/bab.2566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 02/07/2024] [Indexed: 02/28/2024]
Abstract
Breast cancer has been reported to be high in its incidence with women, and early identification of breast cancer helps to improve and provide an effective treatment. Tumor markers are active substances; in particular, human epidermal growth factor receptor 2 (HER2) is over-expressed at the level of 20%-30%. This research work developed a highly sensitive HER2 biosensor on the interdigitated electrode (IDE) by using aptamer as a detection probe. To enhance the analytical performances, aptamer was attached to the gold nanoparticle and immobilized on the IDE through a chemical linker [(3-aminopropyl)triethoxysilane]. On the aptamer conjugation, HER2 was quantified through current-volt measurements, and the limit of detection of HER2 was calculated as 1 pg/mL on a linear range from 0.1 to 3000 pg/mL at an R2 (regression coefficient) of 0.9657. Further, a selective performance with human serum increased the current responses by increasing HER2 concentrations. Specific experiments with control protein and complementary aptamer sequence failed to enhance the current responses. This HER2 biosensor reflects the occurrence of breast cancer at its lower abundance and helps to identify the associated complications.
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Affiliation(s)
- Yingxin Hao
- Clinical Laboratory, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin, China
| | - Subash C B Gopinath
- Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, Malaysia
- Micro System Technology, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia
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Elghoroury EA, Abdelghafar EE, Kamel S, Awadallah E, Shalaby A, EL-Saeed GSM, Mahmoud E, Kamel MM, Abobakr A, Yousef RN. Dysregulation of miR-122, miR-574 and miR-375 in Egyptian patients with breast cancer. PLoS One 2024; 19:e0298536. [PMID: 38820252 PMCID: PMC11142443 DOI: 10.1371/journal.pone.0298536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 01/25/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND The early detection of breast cancer (BC) is receiving global attention, creating an urgent need for more sensitive and comprehensive strategies for preventive intervention, therapy assessment, and prognosis prediction. Aberrant expression of miRNAs has been observed in various malignancies and may be potential targets for therapy. Our study aims to examine the expression profiles of miR-375, miR-574-3p, and miR-122 in the sera of Egyptian women with BC, benign breast lesions, and a control group. We hope to determine if these miRNAs can serve as minimally invasive biomarkers for BC. METHODS This is a case-control study in which 77 patients with newly diagnosed BC, 20 patients with benign breast tumors, and 30 normal healthy subjects as controls were recruited from the outpatient clinic of the National Cancer Institute. The assessment of miRNAs was conducted using RT-PCR (Applied Biosystems). RESULTS The expression level of miRNA-122 was significantly upregulated in the BC group, while the expression levels of miRNA-574 and miRNA-375 showed significant downregulation in BC patients. Serum miR-122 and miRNA-375 were able to distinguish breast cancer from the benign and control groups in ROC curve analysis, with AUCs of 0.786 and 0.796, respectively. Our results also showed that serum miR-122 and miR-574 are significant predictor variables in the multivariate analysis, after adjusting for age. CONCLUSIONS Our findings suggest that miR-122 may act as an onco-microRNA, while miR-574 and miR-375 may have a main tumour suppressor role. The studied miRNAs may serve as minimally invasive biomarkers for cases of breast cancer and as promising potential therapeutic targets for breast cancer.
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Affiliation(s)
- Eman A. Elghoroury
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Esmat E. Abdelghafar
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Solaf Kamel
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Eman Awadallah
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Aliaa Shalaby
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Gamila S. M. EL-Saeed
- Medical Biochemistry, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Eman Mahmoud
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
| | - Mahmoud M. Kamel
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Asmaa Abobakr
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
- Baheya Centre for Early Detection and Treatment of Breast Cancer, Giza, Egypt
| | - Rasha Nazih Yousef
- Department of Clinical & Chemical Pathology, Medical Research and Clinical Studies Institute, National Research Center, Giza, Egypt
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Margaret AL, Wanandi SI, Fadilah F, Paramita RI. Identification of Potential Breast Cancer Stem Cell Biomarkers in the Secretome Using a Network Interaction Approach Analysis. Asian Pac J Cancer Prev 2024; 25:1803-1813. [PMID: 38809653 PMCID: PMC11318819 DOI: 10.31557/apjcp.2024.25.5.1803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 05/18/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Breast cancer stem cells (BCSCs) play a role in the high rates of resistance, recurrence, and metastasis. The precise biomarkers of BCSCs can assist effectively in identifying cancer, assessing prognosis, diagnosing, and monitoring therapy. The aim of this study was to give a complete analysis for predicting specific biomarkers of BCSCs. METHODS We aggregated profile datasets in this work to shed light on the underlying critical genes and pathways of BCSCs. We obtained two expression profiling by array datasets (GSE7513 and GSE7515) from the Gene Expression Omnibus (GEO) database to identify biomarkers in BCSCs. Enrichr was used to do functional analysis, including gene ontology (GO) and reactome pathway. Furthermore, the protein-protein interaction (PPI) of these differential expression genes (DEGs) was visualized using Cytoscape with the search tool for the retrieval of interacting genes (STRING). The hub genes in the PPI network were chosen for further investigation. RESULTS We identified 65 up-regulated and 190 down- regulated DEGs and the GO enrichment analysis revealed that these DEGs were enriched in biological process related to tumorigenesis and stemness, including alter the extracellular matrix's physicochemical properties, cytoskeletal reorganisation, adhesion, motility, migration, growth, and survival. The Reactome analysis indicated that these DEGs were also involved in modulating function of ECM, regulation cancer metabolism and angiogenesis, tumor growth, proliferation, and metastasis. CONCLUSION Our bioinformatic study revealed that FYN, INADL, OCLN, F11R, and TOP2A were potential biomarker panel of BCSCs from secretome.
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Affiliation(s)
- Ay Ly Margaret
- Doctoral Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia.
| | - Septelia Inawati Wanandi
- Molecular Biology and Proteomics Core Facilities, Indonesian Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia.
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia.
| | - Fadilah Fadilah
- Bioinformatics Core Facilities, Indonesian Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia
| | - Rafika Indah Paramita
- Bioinformatics Core Facilities, Indonesian Medical Education and Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia
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Karampuri A, Kundur S, Perugu S. Exploratory drug discovery in breast cancer patients: A multimodal deep learning approach to identify novel drug candidates targeting RTK signaling. Comput Biol Med 2024; 174:108433. [PMID: 38642491 DOI: 10.1016/j.compbiomed.2024.108433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/04/2024] [Accepted: 04/07/2024] [Indexed: 04/22/2024]
Abstract
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, poses a significant threat due to its intricate genetic variability, rendering it challenging to diagnose accurately. Various therapies such as immunotherapy, radiotherapy, and diverse chemotherapy approaches like drug repurposing and combination therapy are widely used depending on cancer subtype and metastasis severity. Our study revolves around an innovative drug discovery strategy targeting potential drug candidates specific to RTK signalling, a prominently targeted receptor class in cancer. To accomplish this, we have developed a multimodal deep neural network (MM-DNN) based QSAR model integrating omics datasets to elucidate genomic, proteomic expression data, and drug responses, validated rigorously. The results showcase an R2 value of 0.917 and an RMSE value of 0.312, affirming the model's commendable predictive capabilities. Structural analogs of drug molecules specific to RTK signalling were sourced from the PubChem database, followed by meticulous screening to eliminate dissimilar compounds. Leveraging the MM-DNN-based QSAR model, we predicted the biological activity of these molecules, subsequently clustering them into three distinct groups. Feature importance analysis was performed. Consequently, we successfully identified prime drug candidates tailored for each potential downstream regulatory protein within the RTK signalling pathway. This method makes the early stages of drug development faster by removing inactive compounds, providing a hopeful path in combating breast cancer.
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Affiliation(s)
- Anush Karampuri
- Department of Biotechnology, National Institute of Technology, Warangal, 500604, India
| | - Sunitha Kundur
- Department of Biotechnology, National Institute of Technology, Warangal, 500604, India
| | - Shyam Perugu
- Department of Biotechnology, National Institute of Technology, Warangal, 500604, India.
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Abdul Wahab MR, Palaniyandi T, Viswanathan S, Baskar G, Surendran H, Gangadharan SGD, Sugumaran A, Sivaji A, Kaliamoorthy S, Kumarasamy S. Biomarker-specific biosensors revolutionise breast cancer diagnosis. Clin Chim Acta 2024; 555:117792. [PMID: 38266968 DOI: 10.1016/j.cca.2024.117792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/19/2024] [Accepted: 01/19/2024] [Indexed: 01/26/2024]
Abstract
Breast cancer is the most common cancer among women across the globe. In order to treat breast cancer successfully, it is crucial to conduct a comprehensive assessment of the condition during its initial stages. Although mammogram screening has long been a common method of breast cancer screening, high rates of type I error and type II error results as well as radiation exposure have always been of concern. The outgrowth cancer mortality rate is primarily due to delayed diagnosis, which occurs most frequently in a metastatic III or IV stage, resulting in a poor prognosis after therapy. Traditional detection techniques require identifying carcinogenic properties of cells, such as DNA or RNA alterations, conformational changes and overexpression of certain proteins, and cell shape, which are referred to as biomarkers or analytes. These procedures are complex, long-drawn-out, and expensive. Biosensors have recently acquired appeal as low-cost, simple, and super sensitive detection methods for analysis. The biosensor approach requires the existence of biomarkers in the sample. Thus, the development of novel molecular markers for diverse forms of cancer is a rising complementary affair. These biosensor devices offer two major advantages: (1) a tiny amount of blood collected from the patient is sufficient for analysis, and (2) it could help clinicians swiftly select and decide on the best therapy routine for the individual. This review will include updates on prospective cancer markers and biosensors in cancer diagnosis, as well as the associated detection limitations, with a focus on biosensor development for marker detection.
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Affiliation(s)
| | - Thirunavukkarasu Palaniyandi
- Department of Biotechnology, Dr. M.G.R. Educational and Research Institute, Chennai, India; Department of Anatomy, Biomedical Research Unit and Laboratory Animal Centre, Saveetha Dental College and Hospital, SIMATS, Saveetha University, Chennai, India.
| | - Sandhiya Viswanathan
- Department of Biotechnology, Dr. M.G.R. Educational and Research Institute, Chennai, India
| | - Gomathy Baskar
- Department of Biotechnology, Dr. M.G.R. Educational and Research Institute, Chennai, India
| | - Hemapreethi Surendran
- Department of Biotechnology, Dr. M.G.R. Educational and Research Institute, Chennai, India
| | - S G D Gangadharan
- Department of Medical Oncology, Madras Medical College, R. G. G. G. H., Chennai, Tamil Nadu, India
| | - Abimanyu Sugumaran
- Department of Pharmaceutical Sciences, Assam University, (A Central University), Silchar, Assam, India
| | - Asha Sivaji
- Department of Biochemistry, DKM College for Women, Vellore, India
| | - Senthilkumar Kaliamoorthy
- Department of Electronics and Communication Engineering, Dr. M.G.R Educational and Research Institute, Chennai, Tamil Nadu, India
| | - Saravanan Kumarasamy
- Department of Electrical and Electronics Engineering, Dr. M.G.R Educational and Research Institute, Chennai, Tamil Nadu, India
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11
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Banerjee S, Hatimuria M, Sarkar K, Das J, Pabbathi A, Sil PC. Recent Contributions of Mass Spectrometry-Based "Omics" in the Studies of Breast Cancer. Chem Res Toxicol 2024; 37:137-180. [PMID: 38011513 DOI: 10.1021/acs.chemrestox.3c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Breast cancer (BC) is one of the most heterogeneous groups of cancer. As every biotype of BC is unique and presents a particular "omic" signature, they are increasingly characterized nowadays with novel mass spectrometry (MS) strategies. BC therapeutic approaches are primarily based on the two features of human epidermal growth factor receptor 2 (HER2) and estrogen receptor (ER) positivity. Various strategic MS implementations are reported in studies of BC also involving data independent acquisitions (DIAs) of MS which report novel differential proteomic, lipidomic, proteogenomic, phosphoproteomic, and metabolomic characterizations associated with the disease and its therapeutics. Recently many "omic" studies have aimed to identify distinct subsidiary biotypes for diagnosis, prognosis, and targets of treatment. Along with these, drug-induced-resistance phenotypes are characterized by "omic" changes. These identifying aspects of the disease may influence treatment outcomes in the near future. Drug quantifications and characterizations are also done regularly and have implications in therapeutic monitoring and in drug efficacy assessments. We report these studies, mentioning their implications toward the understanding of BC. We briefly provide the MS instrumentation principles that are adopted in such studies as an overview with a brief outlook on DIA-MS strategies. In all of these, we have chosen a model cancer for its revelations through MS-based "omics".
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Affiliation(s)
- Subhrajit Banerjee
- Department of Physiology, Surendranath College, University of Calcutta, Kolkata 700009, India
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Madushmita Hatimuria
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Kasturi Sarkar
- Department of Microbiology, St. Xavier's College, Kolkata 700016, India
| | - Joydeep Das
- Department of Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram, India
| | - Ashok Pabbathi
- Department of Industrial Chemistry, School of Physical Sciences, Mizoram University, Aizawl 796004, Mizoram India
| | - Parames C Sil
- Department of Molecular Medicine Bose Institute, Kolkata 700054, India
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12
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O’Brien C, Khor CK, Ardalan S, Ignaszak A. Multiplex electrochemical sensing platforms for the detection of breast cancer biomarkers. FRONTIERS IN MEDICAL TECHNOLOGY 2024; 6:1360510. [PMID: 38425422 PMCID: PMC10902167 DOI: 10.3389/fmedt.2024.1360510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Herein, advancements in electroanalytical devices for the simultaneous detection of diverse breast cancer (BC) markers are demonstrated. This article identifies several important areas of exploration for electrochemical diagnostics and highlights important factors that are pivotal for the successful deployment of novel bioanalytical devices. We have highlighted that the limits of detection (LOD) reported for the multiplex electrochemical biosensor can surpass the sensitivity displayed by current clinical standards such as ELISA, FISH, and PCR. HER-2; a breast cancer marker characterised by increased metastatic potential, more aggressive development, and poor clinical outcomes; can be sensed with a LOD of 0.5 ng/ml using electrochemical multiplex platforms, which falls within the range of that measured by ELISA (from picogram/ml to nanogram/ml). Electrochemical multiplex biosensors are reported with detection limits of 0.53 ng/ml and 0.21 U/ml for MUC-1 and CA 15-3, respectively, or 5.8 × 10-3 U/ml for CA 15-3 alone. The sensitivity of electrochemical assays is improved when compared to conventional analysis of MUC-1 protein which is detected at 11-12 ng/ml, and ≤30 U/ml for CA 15-3 in the current clinical blood tests. The LOD for micro-ribonucleic acid (miRNA) biomarkers analyzed by electrochemical multiplex assays were all notedly superior at 9.79 × 10-16 M, 3.58 × 10-15 M, and 2.54 × 10-16 M for miRNA-155, miRNA-21, and miRNA-16, respectively. The dogma in miRNA testing is the qRT-PCR method, which reports ranges in the ng/ml level for the same miRNAs. Breast cancer exosomes, which are being explored as a new frontier of biosensing, have been detected electrochemically with an LOD of 103-108 particles/mL and can exceed detection limits seen by the tracking and analysis of nanoparticles (∼ 107 particles/ml), flow cytometry, Western blotting and ELISA, etc. A range of concentration at 78-5,000 pg/ml for RANKL and 16-1,000 pg/ml for TNF is reported for ELISA assay while LOD values of 2.6 and 3.0 pg/ml for RANKL and TNF, respectively, are demonstrated by the electrochemical dual immunoassay platform. Finally, EGFR and VEGF markers can be quantified at much lower concentrations (0.01 and 0.005 pg/ml for EGFR and VEGF, respectively) as compared to their ELISA assays (EGRF at 0.31-20 ng/ml and VEGF at 31.3-2,000 pg/ml). In this study we hope to answer several questions: (1) Are the limits of detection (LODs) reported for multiplex electrochemical biosensors of clinical relevance and how do they compare to well-established methods like ELISA, FISH, or PCR? (2) Can a single sensor electrode be used for the detection of multiple markers from one blood drop? (3) What mechanism of electrochemical biosensing is the most promising, and what technological advancements are needed to utilize these devices for multiplex POC detection? (4) Can nanotechnology advance the sensitive and selective diagnostics of multiple BC biomarkers? (5) Are there preferred receptors (antibody, nucleic acid or their combinations) and preferred biosensor designs (complementary methods, sandwich-type protocols, antibody/aptamer concept, label-free protocol)? (6) Why are we still without FDA-approved electrochemical multiplex devices for BC screening?
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Affiliation(s)
- Connor O’Brien
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Chun Keat Khor
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
| | - Sina Ardalan
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
| | - Anna Ignaszak
- Department of Chemistry, University of New Brunswick, Fredericton, NB, Canada
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Golestan A, Tahmasebi A, Maghsoodi N, Faraji SN, Irajie C, Ramezani A. Unveiling promising breast cancer biomarkers: an integrative approach combining bioinformatics analysis and experimental verification. BMC Cancer 2024; 24:155. [PMID: 38291367 PMCID: PMC10829368 DOI: 10.1186/s12885-024-11913-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/23/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Breast cancer remains a significant health challenge worldwide, necessitating the identification of reliable biomarkers for early detection, accurate prognosis, and targeted therapy. MATERIALS AND METHODS Breast cancer RNA expression data from the TCGA database were analyzed to identify differentially expressed genes (DEGs). The top 500 up-regulated DEGs were selected for further investigation using random forest analysis to identify important genes. These genes were evaluated based on their potential as diagnostic biomarkers, their overexpression in breast cancer tissues, and their low median expression in normal female tissues. Various validation methods, including online tools and quantitative Real-Time PCR (qRT-PCR), were used to confirm the potential of the identified genes as breast cancer biomarkers. RESULTS The study identified four overexpressed genes (CACNG4, PKMYT1, EPYC, and CHRNA6) among 100 genes with higher importance scores. qRT-PCR analysis confirmed the significant upregulation of these genes in breast cancer patients compared to normal samples. CONCLUSIONS These findings suggest that CACNG4, PKMYT1, EPYC, and CHRNA6 may serve as valuable biomarkers for breast cancer diagnosis, and PKMYT1 may also have prognostic significance. Furthermore, CACNG4, CHRNA6, and PKMYT1 show promise as potential therapeutic targets. These findings have the potential to advance diagnostic methods and therapeutic approaches for breast cancer.
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Affiliation(s)
- Ali Golestan
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Nafiseh Maghsoodi
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Nooreddin Faraji
- Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Cambyz Irajie
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amin Ramezani
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
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14
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Wang Y, Yi K, Chen B, Zhang B, Jidong G. Elucidating the susceptibility to breast cancer: an in-depth proteomic and transcriptomic investigation into novel potential plasma protein biomarkers. Front Mol Biosci 2024; 10:1340917. [PMID: 38304232 PMCID: PMC10833003 DOI: 10.3389/fmolb.2023.1340917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 12/29/2023] [Indexed: 02/03/2024] Open
Abstract
Objectives: This study aimed to identify plasma proteins that are associated with and causative of breast cancer through Proteome and Transcriptome-wide association studies combining Mendelian Randomization. Methods: Utilizing high-throughput datasets, we designed a two-phase analytical framework aimed at identifying novel plasma proteins that are both associated with and causative of breast cancer. Initially, we conducted Proteome/Transcriptome-wide association studies (P/TWAS) to identify plasma proteins with significant associations. Subsequently, Mendelian Randomization was employed to ascertain the causation. The validity and robustness of our findings were further reinforced through external validation and various sensitivity analyses, including Bayesian colocalization, Steiger filtering, heterogeneity and pleiotropy. Additionally, we performed functional enrichment analysis of the identified proteins to better understand their roles in breast cancer and to assess their potential as druggable targets. Results: We identified 5 plasma proteins demonstrating strong associations and causative links with breast cancer. Specifically, PEX14 (OR = 1.201, p = 0.016) and CTSF (OR = 1.114, p < 0.001) both displayed positive and causal association with breast cancer. In contrast, SNUPN (OR = 0.905, p < 0.001), CSK (OR = 0.962, p = 0.038), and PARK7 (OR = 0.954, p < 0.001) were negatively associated with the disease. For the ER-positive subtype, 3 plasma proteins were identified, with CSK and CTSF exhibiting consistent trends, while GDI2 (OR = 0.920, p < 0.001) was distinct to this subtype. In ER-negative subtype, PEX14 (OR = 1.645, p < 0.001) stood out as the sole protein, even showing a stronger causal effect compared to breast cancer. These associations were robustly supported by colocalization and sensitivity analyses. Conclusion: Integrating multiple data dimensions, our study successfully pinpointed plasma proteins significantly associated with and causative of breast cancer, offering valuable insights for future research and potential new biomarkers and therapeutic targets.
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Affiliation(s)
- Yang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kexin Yi
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Baoyue Chen
- Department of General Surgery, Beijing Puren Hospital, Beijing, China
| | - Bailin Zhang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gao Jidong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
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15
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Wang Y, Wang Y, Zhou J, Ying P, Wang Z, Wu Y, Hao M, Qiu S, Jin H, Wang X. A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer. J Cancer Res Clin Oncol 2023; 149:14205-14225. [PMID: 37558766 DOI: 10.1007/s00432-023-05222-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/28/2023] [Indexed: 08/11/2023]
Abstract
PURPOSE Breast cancer (BRCA) is a prevalent tumor worldwide. The association between the coiled-coil domain-containing (CCDC) protein family and different tumors has been established. However, the prognostic significance of this protein family in breast cancer remains uncertain. METHODS Gene expression and clinical data were obtained from the TCGA, METABRIC, and GEO databases. Prognosis genes were identified using univariate Cox and LASSO Cox regression, leading to the establishment of a prognostic signature. Subsequently, the risk model was conducted based on survival and clinical feature analyses, and a nomogram for prognosis prediction was developed. Furthermore, analyses of biological function, immune characteristics, and drug sensitivity were performed. Finally, single-cell sequencing data were utilized to uncover the expression patterns of genes in the risk model. RESULTS Five genes were identified and utilized for risk modeling. The model demonstrated excellent prognostic value as indicated by ROC and Kaplan-Meier analysis. The high-risk group exhibited shorter survival time and higher likelihood of recurrence. Functional annotation indicated a correlation between the risk score and immune pathways. Conversely, the low-risk group displayed a greater enrichment in immune pathways and exhibited more active immune microenvironment characteristics. Additionally, drug sensitivity analysis using both public and our sequencing data revealed that the risk model possessed a broad range of predictive values. CONCLUSIONS We have developed a gene signature and have verified that patients with low-risk are more likely to have better prognosis and respond positively to therapy. This finding offers a valuable point of reference for BRCA individualized treatment.
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Affiliation(s)
- Yufei Wang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yanmei Wang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jia Zhou
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Pingting Ying
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhuo Wang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yan Wu
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Minyan Hao
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Shuying Qiu
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hongchuan Jin
- Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xian Wang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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16
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Tapia M, Hernando C, Martínez MT, Burgués O, Tebar-Sánchez C, Lameirinhas A, Ágreda-Roca A, Torres-Ruiz S, Garrido-Cano I, Lluch A, Bermejo B, Eroles P. Clinical Impact of New Treatment Strategies for HER2-Positive Metastatic Breast Cancer Patients with Resistance to Classical Anti-HER Therapies. Cancers (Basel) 2023; 15:4522. [PMID: 37760491 PMCID: PMC10527351 DOI: 10.3390/cancers15184522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/24/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
HER2-positive breast cancer accounts for 15-20% of all breast cancer cases. This subtype is characterized by an aggressive behavior and poor prognosis. Anti-HER2 therapies have considerably improved the natural course of the disease. Despite this, relapse still occurs in around 20% of patients due to primary or acquired treatment resistance, and metastasis remains an incurable disease. This article reviews the main mechanisms underlying resistance to anti-HER2 treatments, focusing on newer HER2-targeted therapies. The progress in anti-HER2 drugs includes the development of novel antibody-drug conjugates with improvements in the conjugation process and novel linkers and payloads. Moreover, trastuzumab deruxtecan has enhanced the efficacy of trastuzumab emtansine, and the new drug trastuzumab duocarmazine is currently undergoing clinical trials to assess its effect. The combination of anti-HER2 agents with other drugs is also being evaluated. The addition of immunotherapy checkpoint inhibitors shows some benefit in a subset of patients, indicating the need for useful biomarkers to properly stratify patients. Besides, CDK4/6 and tyrosine kinase inhibitors are also included in the design of new treatment strategies. Lapitinib, neratinib and tucatinib have been approved for HER2-positive metastasis patients, however clinical trials are currently ongoing to optimize combined strategies, to reduce toxicity, and to better define the useful setting. Clinical research should be strengthened along with the discovery and validation of new biomarkers, as well as a deeper understanding of drug resistance and action mechanisms.
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Affiliation(s)
- Marta Tapia
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Cristina Hernando
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - María Teresa Martínez
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Octavio Burgués
- Department of Pathology, Hospital Clinic of Valencia, 46010 Valencia, Spain;
- Biomedical Research Networking Center in Oncology (CIBERONC), 28029 Madrid, Spain
| | - Cristina Tebar-Sánchez
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Ana Lameirinhas
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Anna Ágreda-Roca
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Sandra Torres-Ruiz
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
| | - Iris Garrido-Cano
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
- Interuniversity Research Institute for Molecular Recognition and Technological Development (IDM), Polytechnic University of Valencia, University of Valencia, 46022 Valencia, Spain
| | - Ana Lluch
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
- Biomedical Research Networking Center in Oncology (CIBERONC), 28029 Madrid, Spain
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Begoña Bermejo
- Department of Clinical Oncology, University Clinical Hospital of Valencia, 46010 Valencia, Spain; (M.T.); (C.H.); (M.T.M.); (C.T.-S.); (A.L.); (B.B.)
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
- Biomedical Research Networking Center in Oncology (CIBERONC), 28029 Madrid, Spain
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Pilar Eroles
- Biomedical Research Institute INCLIVA, 46010 Valencia, Spain; (A.L.); (A.Á.-R.); (S.T.-R.); (I.G.-C.)
- Biomedical Research Networking Center in Oncology (CIBERONC), 28029 Madrid, Spain
- Department of Physiology, University of Valencia, 46010 Valencia, Spain
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17
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Ma M, Liu F, Miles HN, Kim EJ, Fields L, Xu W, Li L. Proteome-wide Profiling of Asymmetric Dimethylated Arginine in Human Breast Tumors. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:1692-1700. [PMID: 37463068 PMCID: PMC10726702 DOI: 10.1021/jasms.3c00154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Arginine methylation catalyzed by protein arginine methyltransferases (PRMTs) is a prevalent post-translational modification (PTM) that regulates diverse cellular processes. Aberrant expression of type I PRMTs that catalyze asymmetric arginine dimethylation (ADMA) is often found in cancer, though little is known about the ADMA status of substrate proteins in tumors. Using LC-MS/MS along with pan-specific ADMA antibodies, we performed global mapping of ADMA in five patient-derived xenograft (PDX) tumors representing different subtypes of human breast cancer. In total, 403 methylated sites from 213 proteins were identified, including 322 novel sites when compared to the PhosphositesPlus database. Moreover, using peptide arrays in vitro, approximately 70% of the putative substrates were validated to be methylated by PRMT1, PRMT4, and PRMT6. Notably, when compared with our previously identified ADMA sites from breast cancer cell lines, only 75 ADMA sites overlapped between cell lines and PDX tumors. Collectively, this study provides a useful resource for both PRMT and breast cancer communities for further exploitation of the functions of PRMT dysregulation during breast cancer progression.
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Affiliation(s)
- Min Ma
- School of Pharmacy, University of Wisconsin–Madison, Madison, Wisconsin, United States
| | - Fabao Liu
- McArdle Laboratory for Cancer Research, University of Wisconsin–Madison, Madison, Wisconsin, 53705, United States
- Advanced Medical Research Institute, Shandong University, Shandong, 250012, PR China
| | - Hannah N. Miles
- School of Pharmacy, University of Wisconsin–Madison, Madison, Wisconsin, United States
| | - Eui-Jun Kim
- McArdle Laboratory for Cancer Research, University of Wisconsin–Madison, Madison, Wisconsin, 53705, United States
| | - Lauren Fields
- Department of Chemistry, University of Wisconsin–Madison, Madison, Wisconsin, 53706, United States
| | - Wei Xu
- McArdle Laboratory for Cancer Research, University of Wisconsin–Madison, Madison, Wisconsin, 53705, United States
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin–Madison, Madison, Wisconsin, United States
- Department of Chemistry, University of Wisconsin–Madison, Madison, Wisconsin, 53706, United States
- Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, United States
- Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, 53705, United States
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18
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Szymczyk J, Czyrek A, Otlewski J, Zakrzewska M. FGF1 Protects MCF-7 Cells against Taltobulin through Both the MEKs/ERKs and PI3K/AKT Signaling Pathway. Biomedicines 2023; 11:1856. [PMID: 37509496 PMCID: PMC10376943 DOI: 10.3390/biomedicines11071856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/21/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023] Open
Abstract
Breast cancer is a widespread and complex disease characterized by abnormal signaling pathways that promote tumor growth and progression. Despite significant medical advances and the development of increasingly effective therapies for breast cancer, drug resistance and reduced sensitivity to prior therapies remain persistent challenges. Dysregulation of growth factors such as FGFs and EGF and their receptors is a contributing factor to reduced response to treatment, promoting cell survival and proliferation, metastasis, EMT or increased expression of ABC transporters. Our study demonstrates a protective role for FGF1 in MCF-7 breast cancer cells against taltobulin-induced cytotoxicity, mediated by activation of its receptors and compares its activity to EGF, another growth factor involved in breast cancer development and progression. The mechanisms of action of these two proteins are different: FGF1 exerts its effects through the activation of both ERKs and AKT, whereas EGF acts only through ERKs. FGF1 action in the presence of the drug promotes cell viability, reduces apoptosis and increases cell migration. Although EGF and its receptors have received more attention in breast cancer research to date, our findings highlight the key role played by FGFs and their receptors in promoting drug resistance to tubulin polymerization inhibitors in FGFR-positive tumors.
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Affiliation(s)
- Jakub Szymczyk
- Department of Protein Engineering, Faculty of Biotechnology, University of Wroclaw, Joliot-Curie 14a, 50-383 Wroclaw, Poland
| | - Aleksandra Czyrek
- Department of Protein Biotechnology, Faculty of Biotechnology, University of Wroclaw, Joliot-Curie 14a, 50-383 Wroclaw, Poland
| | - Jacek Otlewski
- Department of Protein Engineering, Faculty of Biotechnology, University of Wroclaw, Joliot-Curie 14a, 50-383 Wroclaw, Poland
| | - Malgorzata Zakrzewska
- Department of Protein Engineering, Faculty of Biotechnology, University of Wroclaw, Joliot-Curie 14a, 50-383 Wroclaw, Poland
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19
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Brožová K, Hantusch B, Kenner L, Kratochwill K. Spatial Proteomics for the Molecular Characterization of Breast Cancer. Proteomes 2023; 11:17. [PMID: 37218922 PMCID: PMC10204503 DOI: 10.3390/proteomes11020017] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/30/2023] [Accepted: 04/23/2023] [Indexed: 05/24/2023] Open
Abstract
Breast cancer (BC) is a major global health issue, affecting a significant proportion of the female population and contributing to high rates of mortality. One of the primary challenges in the treatment of BC is the disease's heterogeneity, which can lead to ineffective therapies and poor patient outcomes. Spatial proteomics, which involves the study of protein localization within cells, offers a promising approach for understanding the biological processes that contribute to cellular heterogeneity within BC tissue. To fully leverage the potential of spatial proteomics, it is critical to identify early diagnostic biomarkers and therapeutic targets, and to understand protein expression levels and modifications. The subcellular localization of proteins is a key factor in their physiological function, making the study of subcellular localization a major challenge in cell biology. Achieving high resolution at the cellular and subcellular level is essential for obtaining an accurate spatial distribution of proteins, which in turn can enable the application of proteomics in clinical research. In this review, we present a comparison of current methods of spatial proteomics in BC, including untargeted and targeted strategies. Untargeted strategies enable the detection and analysis of proteins and peptides without a predetermined molecular focus, whereas targeted strategies allow the investigation of a predefined set of proteins or peptides of interest, overcoming the limitations associated with the stochastic nature of untargeted proteomics. By directly comparing these methods, we aim to provide insights into their strengths and limitations and their potential applications in BC research.
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Affiliation(s)
- Klára Brožová
- Core Facility Proteomics, Medical University of Vienna, 1090 Vienna, Austria
- Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria
- Division of Molecular and Structural Preclinical Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1210 Vienna, Austria
- Unit of Laboratory Animal Pathology, University of Veterinary Medicine, 1090 Vienna, Austria
| | - Brigitte Hantusch
- Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria
| | - Lukas Kenner
- Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria
- Unit of Laboratory Animal Pathology, University of Veterinary Medicine, 1090 Vienna, Austria
- CBmed GmbH—Center for Biomarker Research in Medicine, 8010 Graz, Austria
- Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, 1090 Vienna, Austria
| | - Klaus Kratochwill
- Core Facility Proteomics, Medical University of Vienna, 1090 Vienna, Austria
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, 1090 Vienna, Austria
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20
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Chiorcea-Paquim AM. Advances in Electrochemical Biosensor Technologies for the Detection of Nucleic Acid Breast Cancer Biomarkers. SENSORS (BASEL, SWITZERLAND) 2023; 23:4128. [PMID: 37112468 PMCID: PMC10145521 DOI: 10.3390/s23084128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 06/19/2023]
Abstract
Breast cancer is the second leading cause of cancer deaths in women worldwide; therefore, there is an increased need for the discovery, development, optimization, and quantification of diagnostic biomarkers that can improve the disease diagnosis, prognosis, and therapeutic outcome. Circulating cell-free nucleic acids biomarkers such as microRNAs (miRNAs) and breast cancer susceptibility gene 1 (BRCA1) allow the characterization of the genetic features and screening breast cancer patients. Electrochemical biosensors offer excellent platforms for the detection of breast cancer biomarkers due to their high sensitivity and selectivity, low cost, use of small analyte volumes, and easy miniaturization. In this context, this article provides an exhaustive review concerning the electrochemical methods of characterization and quantification of different miRNAs and BRCA1 breast cancer biomarkers using electrochemical DNA biosensors based on the detection of hybridization events between a DNA or peptide nucleic acid probe and the target nucleic acid sequence. The fabrication approaches, the biosensors architectures, the signal amplification strategies, the detection techniques, and the key performance parameters, such as the linearity range and the limit of detection, were discussed.
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Affiliation(s)
- Ana-Maria Chiorcea-Paquim
- University of Coimbra, CEMMPRE, ARISE, Department of Chemistry, 3004-535 Coimbra, Portugal;
- Instituto Pedro Nunes, 3030-199 Coimbra, Portugal
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21
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Gholami M, Klashami ZN, Ebrahimi P, Mahboobipour AA, Farid AS, Vahidi A, Zoughi M, Asadi M, Amoli MM. Metformin and long non-coding RNAs in breast cancer. J Transl Med 2023; 21:155. [PMID: 36849958 PMCID: PMC9969691 DOI: 10.1186/s12967-023-03909-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/21/2023] [Indexed: 03/01/2023] Open
Abstract
Breast cancer (BC) is the second most common cancer and cause of death in women. In recent years many studies investigated the association of long non-coding RNAs (lncRNAs), as novel genetic factors, on BC risk, survival, clinical and pathological features. Recent studies also investigated the roles of metformin treatment as the firstline treatment for type 2 diabetes (T2D) played in lncRNAs expression/regulation or BC incidence, outcome, mortality and survival, separately. This comprehensive study aimed to review lncRNAs associated with BC features and identify metformin-regulated lncRNAs and their mechanisms of action on BC or other types of cancers. Finally, metformin affects BC by regulating five BC-associated lncRNAs including GAS5, HOTAIR, MALAT1, and H19, by several molecular mechanisms have been described in this review. In addition, metformin action on other types of cancers by regulating ten lncRNAs including AC006160.1, Loc100506691, lncRNA-AF085935, SNHG7, HULC, UCA1, H19, MALAT1, AFAP1-AS1, AC026904.1 is described.
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Affiliation(s)
- Morteza Gholami
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zeynab Nickhah Klashami
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Pirooz Ebrahimi
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Arcavacata, Italy
| | | | - Amir Salehi Farid
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Aida Vahidi
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marziyeh Zoughi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mojgan Asadi
- Metabolomics and Genomics Research Center Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa M Amoli
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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22
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Di Cosimo S, Ciniselli CM, Pizzamiglio S, Cappelletti V, Silvestri M, El-Abed S, Izquierdo M, Bajji M, Nuciforo P, Huober J, Cameron D, Chia S, Gomez HL, Iorio MV, Vingiani A, Pruneri G, Verderio P. End-of-neoadjuvant treatment circulating microRNAs and HER2-positive breast cancer patient prognosis: An exploratory analysis from NeoALTTO. Front Oncol 2023; 12:1028825. [PMID: 36798690 PMCID: PMC9927225 DOI: 10.3389/fonc.2022.1028825] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/30/2022] [Indexed: 02/03/2023] Open
Abstract
Background The absence of breast cancer cells in surgical specimens, i.e., pathological complete response (pCR), is widely recognized as a favorable prognostic factor after neoadjuvant therapy. In contrast, the presence of disease at surgery characterizes a prognostically heterogeneous group of patients. Here, we challenged circulating microRNAs (miRNAs) at the end of neoadjuvant therapy as potential prognostic biomarkers in the NeoALTTO study. Methods Patients treated within the trastuzumab arm (i.e., pre-operative weekly trastuzumab for 6 weeks followed by the addition of weekly paclitaxel for 12 weeks; post-operative FEC for 3 cycles followed by trastuzumab up to complete 1 year of treatment) were randomized into a training (n= 54) and testing (n= 72) set. RT-PCR-based high-throughput miRNA profile was performed on plasma samples collected at the end of neoadjuvant treatment of both sets. After normalization, circulating miRNAs associated with event free survival (EFS) were identified by univariate and multivariate Cox regression model. Results Starting from 23 circulating miRNAs associated with EFS in the training set, we generated a 3-circulating miRNA prognostic signature consisting of miR-185-5p, miR-146a-5p, miR-22-3p, which was confirmed in the testing set. The 3-circulating miRNA signature showed a C-statistic of 0.62 (95% confidence interval [95%CI] 0.53-0.71) in the entire study cohort. By resorting to a multivariate Cox regression model we found a statistical significant interaction between the expression values of miR-194-5p and pCR status (p.interaction =0.005) with an estimate Hazard Ratio (HR) of 1.83 (95%CI 1.14- 2.95) in patients with pCR, and 0.87 (95%CI 0.69-1.10) in those without pCR. Notably, the model including this interaction along with the abovementioned 3-circulating miRNA signature provided the highest discriminatory capability with a C-statistic of 0.67 (95%CI 0.58-0.76). Conclusions Circulating miRNAs are informative to identify patients with different prognosis among those with heterogeneous response after trastuzumab-based neoadjuvant treatment, and may be an exploitable tool to select candidates for salvage adjuvant therapy.
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Affiliation(s)
- Serena Di Cosimo
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara M. Ciniselli
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Pizzamiglio
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy,*Correspondence: Sara Pizzamiglio,
| | - Vera Cappelletti
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marco Silvestri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | | | - Mohammed Bajji
- Institut Jules Bordet and l’Université Libre de Bruxelles (U.LB), Bruxelles, Belgium
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jens Huober
- Breast Center, University of Ulm, Ulm, Germany,Breast Center, Cantonal Hospital St.Gallen, St. Gallen, Switzerland
| | | | - Stephen Chia
- University of British Columbia, Vancouver, BC, Canada
| | - Henry L. Gomez
- Department of Medical Oncology, Instituto Nacional de Enfermedades Neoplásicas, Lima, Peru,Department of Medical Oncology, Universidad Ricardo Palma, Lima, Peru
| | - Marilena V. Iorio
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Vingiani
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giancarlo Pruneri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Paolo Verderio
- Unit of Bioinformatics and Biostatistics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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23
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Glypican-3 Differentiates Intraductal Carcinoma and Paget's Disease from Other Types of Breast Cancer. MEDICINA (KAUNAS, LITHUANIA) 2022; 59:medicina59010086. [PMID: 36676710 PMCID: PMC9862536 DOI: 10.3390/medicina59010086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023]
Abstract
Background and Objectives: breast cancer remains the most common health burden affecting females worldwide. Despite developments in breast cancer diagnostic approaches and treatment strategies, the clinical management of metastatic breast cancer remains challenging. Thus, there is a need to identify new biomarkers and novel drug targets for breast cancer diagnosis and therapy. Recently, aberrant glypican-3 (GPC3) expression in cancers has gained considerable interest in cancer research. The studies, however, have yielded contradictory results about GPC3 expression in breast cancer. Therefore, the current study aims to analyse GPC3 expression across a large panel of different breast cancer subtypes. Materials and Methods: GPC3 expression was immunohistochemically evaluated in 230 breast cancer patients along with eight normal tissues and its associations to clinical and demographic characteristics, as well as immunohistochemical biomarkers for breast cancer. Moreover, a public database consisting of breast cancer patients' survival data and GPC3 gene expression information was used to assess the prognostic value of GPC3 in the survival of breast cancer patients. Results: GPC3 expression was only characterised in 7.5% of different histological breast cancer subtypes. None of the normal breast tissues displayed GPC3 expression. Interestingly, all cases of Paget's disease, as well as 42.9% of intraductal and 16.7% of mucinous carcinomas were found to have GPC3 expression, where it was able to significantly discriminate Paget's disease and intraductal carcinoma from other breast cancer subtypes. Importantly, GPC3 expression was found more often in tumours that tested positive for the expression of hormone receptors and human epidermal growth factor receptor 2 (HER2), indicating more favourable histological subtypes of breast cancer. Consequently, longer relapse-free survival (RFS) was significantly correlated with higher GPC3 mRNA expression. Conclusions: Our study proposes that GPC3 is a promising breast cancer subtype-specific biomarker. Moreover, GPC3 may have the potential to be a molecular target for the development of new therapeutics for specific subtypes of breast cancer.
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24
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Gianni C, Palleschi M, Merloni F, Bleve S, Casadei C, Sirico M, Di Menna G, Sarti S, Cecconetto L, Mariotti M, De Giorgi U. Potential Impact of Preoperative Circulating Biomarkers on Individual Escalating/de-Escalating Strategies in Early Breast Cancer. Cancers (Basel) 2022; 15:96. [PMID: 36612091 PMCID: PMC9817806 DOI: 10.3390/cancers15010096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
The research on non-invasive circulating biomarkers to guide clinical decision is in wide expansion, including the earliest disease settings. Several new intensification/de-intensification strategies are approaching clinical practice, personalizing the treatment for each patient. Moreover, liquid biopsy is revealing its potential with multiple techniques and studies available on circulating biomarkers in the preoperative phase. Inflammatory circulating cells, circulating tumor cells (CTCs), cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and other biological biomarkers are improving the armamentarium for treatment selection. Defining the escalation and de-escalation of treatments is a mainstay of personalized medicine in early breast cancer. In this review, we delineate the studies investigating the possible application of these non-invasive tools to give a more enlightened approach to escalating/de-escalating strategies in early breast cancer.
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Affiliation(s)
- Caterina Gianni
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
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25
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Gezer U, Bronkhorst AJ, Holdenrieder S. The Clinical Utility of Droplet Digital PCR for Profiling Circulating Tumor DNA in Breast Cancer Patients. Diagnostics (Basel) 2022; 12:diagnostics12123042. [PMID: 36553049 PMCID: PMC9776872 DOI: 10.3390/diagnostics12123042] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/07/2022] Open
Abstract
Breast cancer is the most common cancer affecting women worldwide. It is a malignant and heterogeneous disease with distinct molecular subtypes, which has prognostic and predictive implications. Circulating tumor DNA (ctDNA), cell-free fragmented tumor-derived DNA in blood plasma, is an invaluable source of specific cancer-associated mutations and holds great promise for the development of minimally invasive diagnostic tests. Furthermore, serial monitoring of ctDNA over the course of systemic and targeted therapies not only allows unparalleled efficacy assessments but also enables the identification of patients who are at risk of progression or recurrence. Droplet digital PCR (ddPCR) is a powerful technique for the detection and monitoring of ctDNA. Due to its relatively high accuracy, sensitivity, reproducibility, and capacity for absolute quantification, it is increasingly used as a tool for managing cancer patients through liquid biopsies. In this review paper, we gauge the clinical utility of ddPCR as a technique for mutational profiling in breast cancer patients and focus on HER2, PIK3CA, ESR1, and TP53, which represent the most frequently mutated genes in breast cancers.
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Affiliation(s)
- Ugur Gezer
- Institute of Oncology, Department of Basic Oncology, Istanbul University, Istanbul 34093, Turkey
| | - Abel J. Bronkhorst
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
| | - Stefan Holdenrieder
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
- Correspondence:
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26
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Classic and New Markers in Diagnostics and Classification of Breast Cancer. Cancers (Basel) 2022; 14:cancers14215444. [PMID: 36358862 PMCID: PMC9654192 DOI: 10.3390/cancers14215444] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
Simple Summary With ever-increasing incidence, breast cancer is considered a most diagnosed type of cancer among women worldwide. Breast cancer arises through malignant transformation of ductal or lobular cells in female (or male) breast and the genetic, phenotypic and morphological heterogeneity has an effect on tumour’s behaviour, thereby instigating a need for individual personalized therapy. A traditional assessment of tumour’s characteristics involves a biopsy and histological analysis of a tumour tissue, and in recent years has been accompanied by analysis of molecular biomarkers to enhance the results. In this work we aimed to thoroughly investigate the latest data in this field of study and give a comprehensive review of novel molecular biomarkers of breast cancer and methodologies used to analyse them. Abstract Breast cancer remains the most frequently diagnosed form of female’s cancer, and in recent years it has become the most common cause of cancer death in women worldwide. Like many other tumours, breast cancer is a histologically and biologically heterogeneous disease. In recent years, considerable progress has been made in diagnosis, subtyping, and complex treatment of breast cancer with the aim of providing best suited tumour-specific personalized therapy. Traditional methods for breast cancer diagnosis include mammography, MRI, biopsy and histological analysis of tumour tissue in order to determine classical markers such as estrogen and progesterone receptors (ER, PR), cytokeratins (CK5/6, CK14, C19), proliferation index (Ki67) and human epidermal growth factor type 2 receptor (HER2). In recent years, these methods have been supplemented by modern molecular methodologies such as next-generation sequencing, microRNA, in situ hybridization, and RT-qPCR to identify novel molecular biomarkers. MicroRNAs (miR-10b, miR-125b, miR145, miR-21, miR-155, mir-30, let-7, miR-25-3p), altered DNA methylation and mutations of specific genes (p16, BRCA1, RASSF1A, APC, GSTP1), circular RNA (hsa_circ_0072309, hsa_circRNA_0001785), circulating DNA and tumour cells, altered levels of specific proteins (apolipoprotein C-I), lipids, gene polymorphisms or nanoparticle enhanced imaging, all these are promising diagnostic and prognostic tools to disclose any specific features from the multifaceted nature of breast cancer to prepare best suited individualized therapy.
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27
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Aslebagh R, Whitham D, Channaveerappa D, Mutsengi P, Pentecost BT, Arcaro KF, Darie CC. Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls. Proteomes 2022; 10:36. [PMID: 36412635 PMCID: PMC9680319 DOI: 10.3390/proteomes10040036] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/17/2022] [Accepted: 10/25/2022] [Indexed: 12/14/2022] Open
Abstract
It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls to investigate alterations in protein patterns of milk that could be related to BC. In the current study, we used mass spectrometry (MS)-based proteomics analysis of 12 milk samples from donors with BC and matched controls. Specifically, we used one-dimensional (1D)-polyacrylamide gel electrophoresis (PAGE) coupled with nanoliquid chromatography tandem MS (nanoLC-MS/MS), followed by bioinformatics analysis. We confirmed the dysregulation of several proteins identified previously in a different set of milk samples. We also identified additional dysregulations in milk proteins shown to play a role in cancer development, such as Lactadherin isoform A, O-linked N-acetylglucosamine (GlcNAc) transferase, galactosyltransferase, recoverin, perilipin-3 isoform 1, histone-lysine methyltransferase, or clathrin heavy chain. Our results expand our current understanding of using milk as a biological fluid for identification of BC-related dysregulated proteins. Overall, our results also indicate that milk has the potential to be used for BC biomarker discovery, early detection and risk assessment in young, reproductively active women.
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Affiliation(s)
- Roshanak Aslebagh
- Biochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Danielle Whitham
- Biochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Devika Channaveerappa
- Biochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Panashe Mutsengi
- Biochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Brian T. Pentecost
- Department of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA 01003-9298, USA
| | - Kathleen F. Arcaro
- Department of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA 01003-9298, USA
| | - Costel C. Darie
- Biochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
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28
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Lv F, Qin J, Kong S, Pan L, Ding R. MicroRNA-506 ameliorates breast cancer-induced osteolytic bone metastasis via the NFATc-1 signaling pathway. J Biochem Mol Toxicol 2022; 36:e23156. [PMID: 36156333 DOI: 10.1002/jbt.23156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 05/02/2022] [Accepted: 07/01/2022] [Indexed: 11/08/2022]
Abstract
Breast cancer is becoming a common life-threatening disease, especially in women, along with higher incidence and mortality. MicroRNA (miR)-506 was reported to participate in breast cancer progression, while the role of miR-506 in breast cancer-induced osteolytic bone metastasis is unclear. In the present study, we found significant downregulation of miR-506 in breast cancer tissues and cell lines. Overexpression of miR-506 notably reduced the proliferative, migratory and invasive rates of MCF7 and MDA-MB-231 cells, and reduced the production of inflammatory factors IL-6 and TNF-α in MCF7 cells. Moreover, overexpression of miR-506 obviously inhibited tumor growth in an in vivo animal model. In addition, overexpression of miR-560 efficiently attenuated breast cancer-induced osteolysis in vivo, which was characterized by increased bone volume/total volume (BT/TV), trabecular number (Tb. N), and trabecular thickness (Tb. Th), as well as the reduced trabecular separation (Tb. Sp). The nuclear factor of activated T cell cytoplasmic 1 (NFATc1) was identified as a downstream target of miR-506, and overexpression of miR-506 could inhibit breast cancer progression by targeting NFATc1. Furthermore, our results showed that NFATc-1 might participate in the inhibition of miR-506 on breast cancer-induced osteolysis. In conclusion, our findings provide insights into understanding the pathogenesis of breast cancer and breast cancer-induced osteolytic bone metastasis, and miR-506 might serve as a novel biomarker for this disease.
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Affiliation(s)
- Feng Lv
- Department of Breast Surgery, Henan Provincial People's Hospital (Henan University People's Hospital), Zhengzhou City, Henan Province, China
| | - Jingbo Qin
- Department of Breast Surgery, Henan Provincial People's Hospital (Henan University People's Hospital), Zhengzhou City, Henan Province, China
| | - Shuxin Kong
- Department of Breast Surgery, Henan Provincial People's Hospital (Henan University People's Hospital), Zhengzhou City, Henan Province, China
| | - Limin Pan
- Department of Breast Surgery, Henan Provincial People's Hospital (Henan University People's Hospital), Zhengzhou City, Henan Province, China
| | - Ran Ding
- Orthopedic Surgery of Wuhan General Hospital of People's Liberation Army, Wuhan City, Hubei Province, China
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29
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Sun J, Zhao H, Xu W, Jiang GQ. Recent advances in photothermal therapy-based multifunctional nanoplatforms for breast cancer. Front Chem 2022; 10:1024177. [PMID: 36199665 PMCID: PMC9528973 DOI: 10.3389/fchem.2022.1024177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/02/2022] [Indexed: 11/15/2022] Open
Abstract
Breast cancer (BC) is one of the most common cancers in women worldwide; however, the successful treatment of BC, especially triple-negative breast cancer (TNBC), remains a significant clinical challenge. Recently, photothermal therapy (PTT), which involves the generation of heat under irradiation to achieve photothermal ablation of BC with minimal invasiveness and outstanding spatial–temporal selectivity, has been demonstrated as a novel therapy that can overcome the drawbacks of chemotherapy or surgery. Significantly, when combining PTT with chemotherapy and/or photodynamic therapy, an enhanced synergistic therapeutic effect can be achieved in both primary and metastatic BC tumors. Thus, this review discusses the recent developments in nanotechnology-based photothermal therapy for the treatment of BC and its metastasis to provide potential strategies for future BC treatment.
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Affiliation(s)
- Jingjun Sun
- Department of Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Breast Surgery, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, China
- *Correspondence: Jingjun Sun, ; Guo-Qin Jiang,
| | - Haiyan Zhao
- Department of Breast Surgery, Shanghai Changning Maternity and Infant Health Hospital, East China Normal University, Shanghai, China
| | - Weixuan Xu
- Department of Breast Surgery, Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong, China
| | - Guo-Qin Jiang
- Department of Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Jingjun Sun, ; Guo-Qin Jiang,
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Sklirou AD, Gianniou DD, Karousi P, Cheimonidi C, Papachristopoulou G, Kontos CK, Scorilas A, Trougakos IP. High mRNA Expression Levels of Heat Shock Protein Family B Member 2 (HSPB2) Are Associated with Breast Cancer Patients’ Relapse and Poor Survival. Int J Mol Sci 2022; 23:ijms23179758. [PMID: 36077156 PMCID: PMC9456243 DOI: 10.3390/ijms23179758] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/19/2022] [Accepted: 08/25/2022] [Indexed: 11/29/2022] Open
Abstract
Small heat shock proteins (sHSPs) are ubiquitous ATP-independent chaperones that contribute to the maintenance of proteome integrity and functionality. Recent evidence suggests that sHSPs are ubiquitously expressed in numerous types of tumors and have been proposed to be implicated in oncogenesis and malignant progression. Heat shock protein family B member 2 (HSPB2) is a member of the sHSPs, which is found to be expressed, among others, in human breast cancer cell lines and constitutes an inhibitor of apical caspase activation in the extrinsic apoptotic pathway. In this study, we investigated the potential prognostic significance of HSPB2 mRNA expression levels in breast cancer, which represents the most frequent malignancy in females and one of the three most common cancer types worldwide. To this end, malignant breast tumors along with paired non-cancerous breast tissue specimens were used. HSPB2 expression levels were quantified in these two cohorts using a sensitive and accurate SYBR green-based quantitative real-time polymerase chain reaction (q-RT-PCR). Extensive biostatistical analyses were performed including Kaplan–Meier and Cox regression survival analyses for the assessment of the results. The significant downregulation of HSPB2 gene expression was revealed in breast tumors compared to their adjacent non-cancerous breast tissues. Notably, high HSPB2 mRNA expression predicts poor disease-free survival and overall survival of breast cancer patients. Multivariate Cox regression analysis revealed that HSPB2 mRNA overexpression is a significant predictor of poor prognosis in breast cancer, independent of other clinicopathological factors. In conclusion, high HSPB2 mRNA expression levels are associated with breast cancer patients’ relapse and poor survival.
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Affiliation(s)
- Aimilia D. Sklirou
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, 15784 Athens, Greece
| | - Despoina D. Gianniou
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, 15784 Athens, Greece
| | - Paraskevi Karousi
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Christina Cheimonidi
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, 15784 Athens, Greece
| | | | - Christos K. Kontos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece
- Correspondence: (A.S.); (I.P.T.); Tel.: +30-210-727-4306 (A.S.); +30-210-727-4555 (I.P.T.)
| | - Ioannis P. Trougakos
- Department of Cell Biology and Biophysics, Faculty of Biology, National and Kapodistrian University of Athens, 15784 Athens, Greece
- Correspondence: (A.S.); (I.P.T.); Tel.: +30-210-727-4306 (A.S.); +30-210-727-4555 (I.P.T.)
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Shrivastava N, Parikh A, Dewangan RP, Biswas L, Verma AK, Mittal S, Ali J, Garg S, Baboota S. Solid Self-Nano Emulsifying Nanoplatform Loaded with Tamoxifen and Resveratrol for Treatment of Breast Cancer. Pharmaceutics 2022; 14:pharmaceutics14071486. [PMID: 35890384 PMCID: PMC9318459 DOI: 10.3390/pharmaceutics14071486] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/05/2022] [Accepted: 07/14/2022] [Indexed: 02/04/2023] Open
Abstract
The solid self-nanoemulsifying drug delivery system (s-SNEDDS) is a growing platform for the delivery of drugs via oral route. In the present work, tamoxifen (TAM) was loaded in SNEDDS with resveratrol (RES), which is a potent chemotherapeutic, antioxidant, anti-inflammatory and P-gp inhibitor for enhancing bioavailability and to obtain synergistic anti-cancer effect against breast cancer. SNEDDS were developed using capmul MCM as oil, Tween 80 as surfactant and transcutol-HP as co-surfactant and optimized by central composite rotatable design. Neusilin US2 concentration was optimized for adsorption of liquid SNEDDS to prepare s-SNEDDS. The developed formulation was characterized and investigated for various in vitro and cell line comparative studies. Optimized TAM-RES-s-SNEDDS showed spherical droplets of a size less than 200 nm. In all in vitro studies, TAM-RES-s-SNEDDS showed significantly improved (p ˂ 0.05) release and permeation across the dialysis membrane and intestinal lumen. Moreover, TAM-RES-s-SNEDDS possessed significantly greater therapeutic efficacy (p < 0.05) and better internalization on the MCF-7 cell line as compared to the conventional formulation. Additionally, oral bioavailability of TAM from SNEDDS was 1.63 folds significantly higher (p < 0.05) than that of combination suspension and 4.16 folds significantly higher (p < 0.05) than TAM suspension. Thus, findings suggest that TAM- RES-s-SNEDDS can be the future delivery system that potentially delivers both drugs to cancer cells for better treatment.
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Affiliation(s)
- Nupur Shrivastava
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; (N.S.); (S.M.); (J.A.)
| | - Ankit Parikh
- Pharmaceutical Innovation and Development (PIDG) Group, Clinical and Health Sciences, University of South Australia, Adelaide, SA 5000, Australia;
| | - Rikeshwer Prasad Dewangan
- Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India;
| | - Largee Biswas
- Nano Biotech Lab, Department of Zoology, Kirori Mal College, University of Delhi, New Delhi 110007, India; (L.B.); (A.K.V.)
| | - Anita Kamra Verma
- Nano Biotech Lab, Department of Zoology, Kirori Mal College, University of Delhi, New Delhi 110007, India; (L.B.); (A.K.V.)
| | - Saurabh Mittal
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; (N.S.); (S.M.); (J.A.)
| | - Javed Ali
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; (N.S.); (S.M.); (J.A.)
| | - Sanjay Garg
- Pharmaceutical Innovation and Development (PIDG) Group, Clinical and Health Sciences, University of South Australia, Adelaide, SA 5000, Australia;
- Correspondence: (S.G.); (S.B.)
| | - Sanjula Baboota
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; (N.S.); (S.M.); (J.A.)
- Correspondence: (S.G.); (S.B.)
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Mohamed AA, Allam AE, Aref AM, Mahmoud MO, Eldesoky NA, Fawazy N, Sakr Y, Sobeih ME, Albogami S, Fayad E, Althobaiti F, Jafri I, Alsharif G, El-Sayed M, Abdelgeliel AS, Abdel Aziz RS. Evaluation of Expressed MicroRNAs as Prospective Biomarkers for Detection of Breast Cancer. Diagnostics (Basel) 2022; 12:diagnostics12040789. [PMID: 35453838 PMCID: PMC9026478 DOI: 10.3390/diagnostics12040789] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/16/2022] [Accepted: 03/19/2022] [Indexed: 02/05/2023] Open
Abstract
Background: Early detection and screening of breast cancer (BC) might help improve the prognosis of BC patients. This study evaluated the use of serum microRNAs (miRs) as non-invasive biomarkers in BC patients. Methods: Using quantitative real-time polymerase chain reaction, we evaluated the serum expression of four candidate miRs (miR-155, miR-373, miR-10b, and miR-34a) in 99 Egyptian BC patients and 40 healthy subjects (as a control). The miRs expression was correlated with clinicopathological data. In addition, the sensitivity and specificity of the miRs were determined using receiver operating characteristic (ROC) curve analysis. Results: Serum miR-155, miR-373, and miR-10b expression were significantly upregulated (p < 0.001), while serum miR-34a was downregulated (p < 0.00) in nonmetastatic (M0) BC patients compared to the control group. In addition, serum miR-155 and miR-10b were upregulated in BC patients with large tumor sizes and extensive nodal involvement (p < 0.001). ROC curve analysis showed high diagnostic accuracy (area under the curve = 1.0) when the four miRs were combined. Serum miR-373 was significantly upregulated in the human epidermal growth factor 2−negative (p < 0.001), estrogen receptor−positive (p < 0.005), and progesterone receptor (PR)-positive (p < 0.024) in BC patients, and serum miR-155 was significantly upregulated in PR-negative (p < 0.001) BC patients while both serum miR-155 and miR-373 were positively correlated with the tumor grade. Conclusions: Circulating serum miR-155, miR-373, miR-10b, and miR-34a are potential biomarkers for early BC detection in Egyptian patients and their combination shows high sensitivity and specificity.
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Affiliation(s)
- Amal Ahmed Mohamed
- Department of Biochemistry and Molecular Biology, National Hepatology and Tropical Medicine Research Institute, Cairo 11511, Egypt;
| | - Ahmed E. Allam
- Department of Pharmacognosy, Faculty of Pharmacy, Al-Azhar University, Assiut 71524, Egypt
- Correspondence: (A.E.A.); (M.E.-S.)
| | - Ahmed M. Aref
- Faculty of Biotechnology, Modern Sciences and Arts University (MSA), Cairo 11511, Egypt;
| | - Maha Osama Mahmoud
- Department of Biochemistry, Faculty of Pharmacy, Egyptian Russian University, Cairo 11511, Egypt;
| | - Noha A. Eldesoky
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy for Girls, Al-Azhar University, Cairo 11511, Egypt;
| | - Naglaa Fawazy
- Department of Clinical Pathology, National Institute of Diabetes & Endocrinology, Cairo 11511, Egypt; (N.F.); (Y.S.)
| | - Yasser Sakr
- Department of Clinical Pathology, National Institute of Diabetes & Endocrinology, Cairo 11511, Egypt; (N.F.); (Y.S.)
| | | | - Sarah Albogami
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (S.A.); (E.F.); (F.A.); (I.J.)
| | - Eman Fayad
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (S.A.); (E.F.); (F.A.); (I.J.)
| | - Fayez Althobaiti
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (S.A.); (E.F.); (F.A.); (I.J.)
| | - Ibrahim Jafri
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (S.A.); (E.F.); (F.A.); (I.J.)
| | - Ghadi Alsharif
- College of Clinical Laboratory Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah 21423, Saudi Arabia;
| | - Marwa El-Sayed
- Department of Microbiology and Immunology, Faculty of Medicine, South Valley University, Qena 83523, Egypt
- Correspondence: (A.E.A.); (M.E.-S.)
| | - Asmaa Sayed Abdelgeliel
- Department of Botany & Microbiology, Faculty of Science, South Valley University, Qena 83523, Egypt;
| | - Rania S. Abdel Aziz
- Department of Clinical Pathology, National Cancer Institute, Cairo University, Cairo 11976, Egypt;
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